Create dashboard.json

dashboard.json

@@ -0,0 +1,1747 @@
+{
+  "cost": {
+    "base": 3474715,
+    "baseTime": "2026-10-24T01:19:09.463Z",
+    "increment": 1200,
+    "every": 1,
+    "unit": "hour"
+  },
+  "notices": [
+    {
+      "id": "n3",
+      "time": "2026-10-24T00:19:09.463Z",
+      "text": "my-model-pro crossed 75B tokens trained. Benchmarks updated."
+    },
+    {
+      "id": "n2",
+      "time": "2026-10-23T01:19:09.463Z",
+      "text": "Rolled back a bad reward-model checkpoint on my-model-flash at step 24, resumed from step 23."
+    },
+    {
+      "id": "n1",
+      "time": "2026-10-20T03:19:09.463Z",
+      "text": "Dashboard is live. Streaming training telemetry for my-model-pro and my-model-flash in real time."
+    }
+  ],
+  "about": "## About this dashboard\n\nThis page streams live, public training telemetry for our reinforcement-learning runs: **my-model-pro** and **my-model-flash**.\n\nWe believe in building in the open. Every benchmark score, every dollar spent on compute, and every notable event during training is published here as it happens, without curation after the fact.\n\n### What you're looking at\n- **Overview** — run status, benchmark curves, batch composition and a live feed of the data pipeline.\n- **Metrics** — the full set of internal training metrics (reward, KL, entropy, pass-rates, …) per step.\n- **Cost counter** — an estimate of cumulative compute spend, extrapolated between manual corrections.\n\nData refreshes automatically about every 30 seconds. Nothing here requires an account — everything is read-only and public.\n\nOpen is what we value.",
+  "footer": {
+    "streamingSince": "2026-10-04T03:19:09.463Z",
+    "tagline": "Open is what we value."
+  },
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+      "name": "my-model-pro",
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+      "status": "stopped",
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